Digital Commons Network^™

Origin Of Large Effective Phonon Magnetic Moments In Monolayer Mos2, Hussam Mustafa, Cynthia Nnokwe, Gaihua Ye, Mengqi Fang, Swati Chaudhary, Jia An Yan, Kai Wu, Connor J. Cunningham, Colin M. Hemesath, Andrew James Stollenwerk, Paul M. Shand, Eui Hyeok Yang

Faculty Publications

Recent helicity-resolved magneto-Raman spectroscopy measurement demonstrates large effective phonon magnetic moments of ∼2.5 μB in monolayer MoS2, highlighting resonant excitation of bright excitons as a feasible route to activate Γ-point circularly polarized phonons in transition metal dichalcogenides. However, a microscopic picture of this intriguing phenomenon remains lacking. In this work, we show that an orbital transition between the split conduction bands (Δ0 = 4 meV) of MoS2 couples to the doubly degenerate E″ phonon mode (Ω0 = 33 meV), forming two hybridized states. Our phononic and electronic Raman scattering measurements capture these two states: (i) one with predominantly phonon contribution …

Msbzip55 Regulates Salinity Tolerance By Modulating Melatonin Biosynthesis In Alfalfa, Tingting Wang, Jiaqi Yang, Jiamin Cao, Qi Zhang, Huayue Liu, Peng Li, Yizhi Huang, Wenwu Qian, Xiaojing Bi, Hui Wang, Yunwei Zhang

Faculty Publications

No abstract provided.

Synthesis Of A Series Of Rare-Earth-Based Multi-Anion Chalcogenide Iodides Re3Si2SeXS8-XI (Re = La, Ce, Pr, And Nd) Using The Flux-Assisted Boron-Chalcogen Mixture Method, Gopabandhu Panigrahi, Habiba Binte Kashem, Gregory Morrison, Hans Conrad Zur Loye

Faculty Publications

Single crystals and polycrystalline powders of rare earth mixed chalcogenide iodides La3Si2Se1.21S6.79I, Ce3Si2Se1.39S6.61I, Pr3Si2Se1.22S6.78I, and Nd3Si2Se1.18S6.82I were prepared using the reactive flux-assisted boron-chalcogen mixture (BCM) method at 850 °C. All compounds crystallized in the monoclinic crystal system, space group C2/c (space group number 15). The series adopts the La3Si2O8Cl structure type, containing isolated SiQ4 tetrahedra connected by REQ8 (RE = La, Ce, Pr and Nd) polyhedra; this arrangement creates tunnels that are filled by I atoms. The partial substitution of S by Se was carried out to modulate the optical properties. Phase pure samples and uniform solid solutions were obtained …

Commodity Thermoplastic Elastomer-Enabled Templated Synthesis Of Large-Pore Ordered Mesoporous Materials, Anthony Griffin, Parker Frame, Yizhi Xiang, Zhe Qiang

Faculty Publications

Fabrication of ordered mesoporous materials (OMMs) has predominantly relied on templating-based methods. However, these methods are constrained by several limitations, especially the limited pore sizes attainable with commercially available surfactants used as structure-directing agents. To unlock the full potential of the OMMs, it is essential to develop synthetic strategies that facilitate the production of large-pore OMMs using scalable processes and cost-effective precursors. This work demonstrates the use of thermoplastic elastomer (TPE)-derived carbon replicas for synthesizing ordered mesoporous silica (OMS) and metal oxides (OMMOs) via precursor infiltration and template removal. The nanostructural evolution of the resulting inorganic materials was systematically investigated. …

Ec2vec: A Machine Learning Method To Embed Enzyme Commission (Ec) Numbers Into Vector Representations, Mengmeng Liu, Xialong Ni, J. Ramanujam, Michal Brylinski

Faculty Publications

Enzyme commission (EC) numbers play a vital role in classifying enzymes and understanding their functions in enzyme-related research. Although accurate and informative encoding of EC numbers is essential for enhancing the effectiveness of machine learning applications, simple EC encoding approaches suffer from limitations such as false numerical order and high sparsity. To address these issues, we developed EC2Vec, a multimodal autoencoder that preserves the categorical nature of EC numbers and leverages their hierarchical relationships, resulting in more meaningful and informative representations. EC2Vec encodes each digit of the EC number as a categorical token and then processes these embeddings through a …

The Southern Miss Bower Academic Center: A Recent Academic Library-Athletics Partnership, Blake Denton

Faculty Publications

In 2019, A. Blake Denton published a literature review that identified and described 35 partnerships between academic libraries and athletics programs at higher education institutions in the United States, 20 of which were established for library marketing and development purposes. Recognizing that the literature documenting marketing and development partnerships was dated, he published a study in 2021 that provided updated, more comprehensive accounts for eight participating institutions and an analysis of the evolving nature of their relationships over time. This third article analyzes the partnership at the University of Southern Mississippi that resulted in the relocation of the athletics program’s …

Time-Series Forecasting In Smart Manufacturing Systems: An Experimental Evaluation Of The State-Of-The-Art Algorithms, Mojaba A. Farahani, Fadi El Kalach, Austin Harper, M.R. Mccormick, Ramy Harik, Thorsten Wuest

Faculty Publications

Time-Series Forecasting (TSF) is a growing research area across various domains including manufacturing. Manufacturing can benefit from Artificial Intelligence (AI) and Machine Learning (ML) innovations for TSF tasks. Although numerous TSF algorithms have been developed and proposed over the past decades, the critical validation and experimental evaluation of the algorithms hold substantial value for researchers and practitioners and are missing to date. This study aims to fill this research gap by providing a rigorous experimental evaluation of the state-of-the-art TSF algorithms on thirteen manufacturing-related datasets with a focus on their applicability in smart manufacturing environments. Each algorithm was selected based …

Comparison Of Deep Learning And Traditional Machine Learning Models For Predicting Mild Cognitive Impairment Using Plasma Proteomic Biomarkers, Kesheng Wang Phd, Ma, Bs, Donald A. Adjeroh, Wei Fang, Suzy M. Walter, Danqing Xiao, Ubolrat Piamjariyakul, Chun Xu

Faculty Publications

Mild cognitive impairment (MCI) is a clinical condition characterized by a decline in cognitive ability and progression of cognitive impairment. It is often considered a transitional stage between normal aging and Alzheimer’s disease (AD). This study aimed to compare deep learning (DL) and traditional machine learning (ML) methods in predicting MCI using plasma proteomic biomarkers. A total of 239 adults were selected from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort along with a pool of 146 plasma proteomic biomarkers. We evaluated seven traditional ML models (support vector machines (SVMs), logistic regression (LR), naïve Bayes (NB), random forest (RF), k-nearest neighbor …

Enhancing Mucus Flow And Clearance By Grafting Zwitterionic Hydrogel Films To Luminal Surfaces, Ryan Horne, Caleb Escudero, Morgan Ellerman, C. Allan Guymon, Marlan Hansen

Faculty Publications

Objective

To determine the effects of zwitterionic hydrogel films on mucus contact angles, flow, and stasis with respect to medical polymer surfaces, both flat and tubular.

Methods

A zwitterionic hydrogel thin film was photografted onto medical rubber surfaces and compared against non-zwitterionic hydrogel thin films and untreated surfaces to determine its impact on mucus contact angles, mucus flow on sheets and tubes, and mucus plugging.

Results

Zwitterionic and conventional hydrogel films significantly reduce the mucus contact angles and the tilt required to initiate mucus flow on sheets and in tubular systems. Preliminary experiments show that these films may also shorten …

Time-Dependent Shear Flows And Their Applications In Parabolic–Parabolic Patlak–Keller–Segel Systems*, Siming He

Faculty Publications

In this study, we investigate the behavior of three-dimensional parabolic–parabolic Patlak–Keller–Segel systems in the presence of ambient shear flows. Our findings demonstrate that when the total mass of the cell density is below a specific threshold, the solution remains globally regular as long as the flow is sufficiently strong. The primary difficulty in our analysis stems from the fast creation of chemical gradients due to strong shear advection.

Trans-Arg: Predicting Antibiotic Resistance Genes With A Transformer-Based Model And Pretrained Protein Language Model, Mohd Manzar Abbas, Amit Ranjan, Aixin Hou, Supratik Mukhopadhyay

Faculty Publications

Antibiotic resistance presents an emerging challenge to global health by reducing the efficacy of antibiotics administered to treat bacterial infections. Traditional approaches for detecting antibiotic resistance genes (ARGs) involve alignment-based sequence similarity techniques, which are time-consuming and resource-intensive. This signifies the necessity for developing advanced computational methods to detect ARGs early. To address this challenge, we introduce Trans-ARG, a novel multi-head attention transformer-based model designed to predict potential ARGs. Our approach leverages the pretrained ESMFold model to extract embeddings from protein sequences, capturing intricate structural and functional information. Protein sequences labelled as ARG or non-ARG were used as the dataset. …

Kg-Dta: A Knowledge Graph-Based Meta-Path Learning Framework To Predict Drug-Target Binding Affinity, Amit Ranjan, Adam Bess, Md Saiful Islam Sajol, Magesh Rajasekaran, Chris Alvin, Supratik Mukhopadhyay

Faculty Publications

Drug target affinity (DTA) prediction is essential at different phases of drug discovery and virtual drug screening. However, traditional wet lab experiments are time and resource-intensive owing to the complex interactions within the vast biological and chemical spaces. Computational methods have proven their potential to predict DTA, but none have considered the association of drugs and proteins to capture the complex interactions in the biological network between drugs and proteins. To address this, we propose a novel framework leveraging knowledge graph-based meta-path learning (KG-DTA) to enhance DTA prediction. First, we construct a weighted heterogeneous network of drugs and proteins that …

Friction-Based Recycling: An Evaluation Of Friction Extrusion For Fabricating Ti-6al-4 V Wire Fabricated From Machining Chip Feedstock, Devesh Kumar Chouhan, Mageshwari Komarasamy, Scott B. Taysom, Nicole R. Overman, Nathan L. Canfield, Timothy J. Roosendaal, Anthony P. Reynolds, Scott A. Whalen

Faculty Publications

Titanium and its alloys are used in aviation and automobile industries due to their remarkable strength to weight ratio, but machining loss commonly is high with ~ 80 wt% of the material being converted to scrap. Recycling post-consumer Ti scrap directly into solid bulk products is a potential solution for repurposing valuable material. Further, eliminating fresh Ti sponge during recycling might lead to lower energy and greenhouse gas emissions. In this study, a solid-phase process known as friction extrusion was utilized to recycle Ti-6Al-4 V machining chips into solid wires which could be used as feedstock in additive manufacturing. The …

Nucleoredoxin Regulates Wnt Signaling During Pituitary Stem Cell Differentiation, Michelle L. Brinkmeier, Leonard Y M Cheung, Sean P. O'Connell, Diana K. Gutierrez, Eve C. Rhoads, Sally A. Camper, Shannon W. Davis

Faculty Publications

Nucleoredoxin (Nxn) encodes a multi-functional enzyme with oxidoreductase activity that regulates many different signaling pathways and cellular processes in a redox-dependent manner. Rare NXN mutations are reported in individuals with recessive Robinow syndrome, which involves mesomelic skeletal dysplasia, short stature, craniofacial dysmorphisms, and incompletely penetrant heart and palate defects. Here we report that Nxn is expressed in the ventral diencephalon and developing pituitary gland, and that Nxn deficient mice have pituitary dysmorphology and craniofacial abnormalities that include defects in the skull base and cleft palate. Nxn mutant mice exhibit reduced WNT signaling and reduced differentiation of pituitary stem …

Pre-Exposure Prophylaxis Uptake Among Black/African American Men Who Have Sex With Other Men In Midwestern, United States: A Systematic Review, Oluwafemi Adeagbo, Oluwaseun Abdulganiyu Badru, Prince Addo, Amber Hawkins, Monique J. Brown Ph.D., Mph, Xiaoming Li, Rima Afifi

Faculty Publications

Introduction: Black/African American men who have sex with other men (BMSM) are disproportionately affected by HIV, experience significant disparities in HIV incidence, and face significant barriers to accessing HIV treatment and care services, including pre-exposure prophylaxis (PrEP). Despite evidence of individual and structural barriers to PrEP use in the Midwest, no review has synthesized this finding to have a holistic view of PrEP uptake and barriers. This review examines patterns of, barriers to, and facilitators of PrEP uptake among BMSM in the Midwest, United States (US).

Methods: Five databases (CINAHL Plus, PUBMED, PsycINFO, SCOPUS, and Web of Science) were searched …

Uncertainty Propagation And Sensitivity Analysis For Constrained Optimization Of Nuclear Waste Vitrification, Lagrande Gunnell, Xiaonan Lu, John D. Vienna, Dong-Sang Kim, Brian J. Riley, John Hedengren

Faculty Publications

The vitrification of high-level waste (HLW) by heating a mixture of glass-forming chemicals (GFCs) with the waste can be improved using a constrained optimization problem. This study explores how different uncertainty propagation (UP) methods implemented with the optimization process can affect the glass formulation of nuclear waste glasses. UP is the effort of propagating uncertain inputs through a system to understand and quantify output distributions. Uncertainty intervals are crafted from output distributions to inform the optimization algorithm. UP is often implemented with Monte Carlo (MC) sampling for large nonlinear systems, which can be difficult to implement within a constrained optimization …

Teaching Archival Silences With The New Hampshire Maps Collection, Kai H. Uchida

Faculty Publications

This conference presentation was given at the Annual Spring 2025 Meeting for New England Archivists.

For the past two years, the University Archivist at Milne Special Collections and Archives at the University of New Hampshire has partnered with an instructor in the Natural Resources and Environmental Studies Department to teach about its historic map collections. This presentation will discuss the planning, execution, and lessons learned from using a historic state maps collection to educate students on the concept of "archival silence," and to advocate for the use of historical map collections to develop critical archival and data literacies.

Understanding Ionic Transport In Perovskite Lithium-Ion Conductor Li3/8Sr7/16Ta3/4Hf1/4O3: A Neutron Diffraction And Molecular Dynamics Simulation Study †, Danyi Sun, Nan Wu, Yeting Wen, Shichen Sun, Yufang He, Ke Huang, Cheng Li, Bin Ouyang, Ralph E. White, Kevin Huang

Faculty Publications

Solid-state Li-ion electrolytes (SSEs) are essential for the development of next-generation solid-state Li-metal batteries and new Li-extraction electrochemical cells. Among these, the perovskite-type SSE Li3/8Sr7/16Ta3/4Hf1/4O3 (LSTH) has garnered attention for Li-extraction applications, owing to its outstanding chemical and thermal stability and high ionic conductivity. However, its precise crystal structure and Li-ion transport mechanisms remain insufficiently understood. This study addresses these gaps by employing neutron diffraction to resolve LSTH's crystallography and machine learning force field (MLFF) based MD simulations to elucidate ionic transport mechanisms. A single-phase LSTH, synthesized via the sol–gel method, exhibits a room-temperature bulk conductivity of 0.418 mS cm−1 …

Negotiating Home In The Long Poem: Amatoritsero Ede’S Transpatiality, Mathias Iroro Orhero

Faculty Publications

In this paper, I argue that Amatoritsero Ede uses the long poem to negotiate the idea of home in an African diasporic context. As a form that carries the implications of length, time, and space, the long poem has been used by poets to interrogate the way we structure the world and to deconstruct grand narratives. The figure of the Black immigrant is one that destabilizes grand narratives of nationalism. This makes the form important in its capacity to ask important questions about nation and tradition even as it transgresses them. As a writer from the Niger Delta, a marginal …

Nanostructure Retention To 1100 °C In Soft-Templated Niobium Tungstates Using Dual-Carbon Strategy, Sean C. Wechsler, Alexander Gregg, Coby S. Collins, Santosh Kiran Balijepalli, Morgan Stefik

Faculty Publications

Mesoporous metal oxides (MMOs) have diverse applications including energy storage, catalysis, and separation membranes. Block polymer structure directing agents enable the control of morphology and pore size, however preservation of the nanostructure is often limited to a narrow range of heat treatment temperatures which constrains the tailoring of defect chemistries. High temperature treatments typically lead to collapse of the porous structure as surface area is reduced during crystal growth. Here, using a mesoporous niobium tungstate it is shown that neither in situ carbon generation nor ex situ carbon infiltration alone enable preservation of the ordered mesostructure at temperatures high enough …

Older Adults’ Health, Ethnicity, And Daily Life, Hyunsook Kang, Mihae Bae

Faculty Publications

Abstract

This study examines the relationship between ethnicity and daily functional disabilities among older adults, focusing on Activities of Daily Living (ADLs) and Instrumental Activities of Daily Living (IADLs). The analysis uses data from the 2020 National Social Life, Health, and Aging Project (NSHAP) survey, which included a sample of individuals aged 57-85 (n=3,005). Respondents provided information on their demographic background (e.g., income, gender, race, age, health, retirement, and marital status) and socioeconomic characteristics through telephone interviews.

The study hypothesized that ethnic differences would be evident in perceived difficulties with ADLs and IADLs in later life. To assess these relationships, …

Modelling The Effects Of Vegetation Distribution And Density On Hydrological Connectivity And Water Age In A River Delta, Madoche Jean Louis, Matthew Hiatt

Faculty Publications

Water transport timescales (WTTs) quantify how long it takes for water to travel through or remain in a system and are often cast as indicators of ecosystem function and health. Such timescales are known to be affected by vegetation in various environments. We quantify the impact of floodplain vegetation on WTTs within the Wax Lake Delta (WLD), a river delta system in Louisiana, USA, using a high-resolution Delft3D Flexible Mesh (DFM) model incorporating vegetation-induced flow resistance. We show that increased vegetation density leads to extended WTTs within vegetated sections of WLD while fostering flow localization and accelerating transport within distributary …

The Artificially Intelligent Rps Negotiation And Mediation Coach, John Lande

Faculty Publications

This document describes the artificially intelligent RPS Negotiation and Mediation Coach (“RPS Coach”) tool, which is an outgrowth of the Real Practice Systems (RPS) Project. It is designed to help many different users perform numerous tasks including (1) attorneys anticipating challenges, strategizing, and representing clients, (2) mediators enhancing preparation, communication, and decision-making, (3) disputing parties making better decisions, (4) ADR program administrators developing clear rules, policies, and materials, (5) educators and trainers teaching practical theory and skills, and (6) students and trainees learning practical theory and skills.

RPS theory and practice is designed to help attorneys and mediators help their …

Hd-Tacs Over The Left Frontal Aslant Tract Entrains Theta Activity Associated With Speech Motor Control, Karim Johari, Fatemeh Tabari

Faculty Publications

Transient disruption or permanent damage to the left Frontal Aslant Tract (FAT) is associated with deficits in speech production. The present study examined the application of theta (4 Hz) high-definition transcranial alternating current stimulation (HD-tACS) over the left SMA and IFG –as a part of FAT- as a potential multisite protocol to modulate neural and behavioral correlates of speech motor control. Twenty-one young adults participated in three counterbalanced sessions in which they received in-phase, anti-phase, and sham theta HD-tACS. In each session, 4 Hz stimulation was applied over the left IFG and SMA, and subsequently EEG data was recorded while …

The Application Of Non-Invasive Neuromodulation In Stuttering: Current Status And Future Directions, Mehdi Bakhtiar, Karim Johari

Faculty Publications

Non-invasive neuromodulation methods such as transcranial Direct Current Stimulation (tDCS) and Transcranial Magnetic Stimulation (TMS), have been extensively utilized to enhance treatment efficacy for various neurogenic communicative disorders. Recently, these methods have gained attention for their potential to reveal more about the underlying nature of stuttering and serve as adjunct therapeutic approaches for stuttering intervention. In this review, we present existing research and discuss critical factors that might influence the efficacy of these interventions, such as location, polarity, intensity, and duration of stimulation, as well as the impact of combined behavioral training. Additionally, we explore implications for future studies, including …

Modulators Of Energy Expenditure Accuracy In Adults With Overweight Or Obesity: E-Mechanic Secondary Analyses, Rachel Matthews, Christoph Höchsmann, Melissa L. Erickson, James L. Dorling, Guillaume Spielmann, Neil M. Johannsen, Timothy S. Church, Corby K. Martin

Faculty Publications

Purpose American College of Sports Medicine (ACSM) metabolic equations are used to estimate energy expenditure (EE) of physical activity and prescribe aerobic exercise to meet EE requirements. Limited evidence supports their accuracy in sedentary adults with overweight or obesity during controlled exercise interventions. The purpose of this study was to compare EE estimated by the ACSM walking equation versus EE measured by indirect calorimetry during a 24-wk aerobic exercise intervention, and identify potential modulators for their accuracy. Methods Data from the exercising groups (8 or 20 kcal·kg body weight-1·wk-1) of the E-MECHANIC study were utilized in this ancillary analysis (N …

Effect Of Training Status On Muscle Excitation And Neuromuscular Fatigue With Resistance Exercise With And Without Blood Flow Restriction In Young Men, Brett H. Davis, Guillaume Spielmann, Neil M. Johannsen, Victoria Fairchild, Timothy D. Allerton, Brian A. Irving

Faculty Publications

This study compared muscle (vastus lateralis) excitation, muscle activation, and neuromuscular fatigue in response to low-load resistance exercise with blood flow restriction (LLBFR), medium-load resistance exercise with blood flow restriction (MLBFR), and high-load resistance exercise (HLRE) in resistance-trained (RT; n = 15) and untrained (UT; n = 14) college-aged males. Muscle excitation and activation were measured using surface electromyography (sEMG) and defined as the maximal root mean square amplitudes (RMS AMP) and the integrated area under the sEMG curve (iEMG) per repetition. Neuromuscular fatigue was defined as the reduction in peak torque measured during the postexercise knee extensor maximal isometric …

Prompt Gamma-Ray Burst Recognition Through Waterfalls And Deep Learning, Michela Negro, Nicoló Cibrario, Eric Burns, Joshua Wood, Adam Goldstein, Tito Dal Canton

Faculty Publications

Gamma-ray bursts (GRBs) are one of the most energetic phenomena in the cosmos, whose study can probe physics extremes beyond the reach of laboratories on Earth. Our quest to unravel the origin of these events and understand their underlying physics is far from complete. Central to this pursuit is the rapid classification of GRBs to guide follow-up observations and analysis across the electromagnetic spectrum and beyond. Here, we introduce a compelling approach that can set a milestone toward a new and robust GRB prompt classification method. Leveraging self-supervised deep learning, we pioneer a previously unexplored data product to approach this …

Grb 221009a: The B.O.A.T. Burst That Shines In Gamma Rays, M. Axelsson, M. Ajello, M. Arimoto, L. Baldini, J. Ballet, M. G. Baring, C. Bartolini, D. Bastieri, J. Becerra Gonzalez, R. Bellazzini, B. Berenji, E. Bissaldi, R. D. Blandford, R. Bonino, P. Bruel, S. Buson, R. A. Cameron, R. Caputo, P. A. Caraveo, E. Cavazzuti, C. C. Cheung, G. Chiaro, N. Cibrario, S. Ciprini, G. Cozzolongo, P. Cristarella Orestano, M. Crnogorcevic, A. Cuoco, S. Cutini, F. D’Ammando, S. De Gaetano, N. Di Lalla, A. Dinesh

Faculty Publications

We present a complete analysis of Fermi Large Area Telescope (LAT) data of GRB 221009A, the brightest gamma-ray burst (GRB) ever detected. The burst emission above 30 MeV detected by the LAT preceded, by 1 s, the low-energy (< 10 MeV) pulse that triggered the Fermi Gamma-Ray Burst Monitor (GBM), as has been observed in other GRBs. The prompt phase of GRB 221009A lasted a few hundred seconds. It was so bright that we identify a bad time interval of 64 s caused by the extremely high flux of hard X-rays and soft gamma rays, during which the event reconstruction efficiency was poor and the dead time fraction quite high. The late-time emission decayed as a power law, but the extrapolation of the late-time emission during the first 450 s suggests that the afterglow started during the prompt emission. We also found that high-energy events observed by the LAT are incompatible with synchrotron origin, and, during the prompt emission, are more likely related to an extra component identified as synchrotron self-Compton (SSC). A remarkable 400 GeV photon, detected by the LAT 33 ks after the GBM trigger and directionally consistent with the location of GRB 221009A, is hard to explain as a product of SSC or TeV electromagnetic cascades, and the process responsible for its origin is uncertain. Because of its proximity and energetic nature, GRB 221009A is an extremely rare event.

Structural And Magnetic Properties Of Cotemo O6, Yu Li, Jared Coles, Xin Gui, Hyowon Park, Yan Wu, Xinglong Chen, Jing Han Chen, Xiaoping Wang, Huibo Cao, Shane Stadler, Omar Chmaissem, David P. Young, Stephan Rosenkranz, John F. Ditusa

Faculty Publications

We have conducted a comprehensive investigation into the magnetic properties of the chiral multiferroic material CoTeMoO6. In contrast with the previous claim of canted antiferromagnetic order with ferromagnetic components [Y. Doi, J. Solid State Chem. 182, 3232 (2009)10.1016/j.jssc.2009.09.008], our investigation reveals an antiferromagnetic ground state with compensated moments, providing an interesting platform for exploring exotic material properties. Through careful measurements of magnetization under a series of applied fields, we demonstrate that there exist two sequential field-induced magnetic transitions in CoTeMoO6, with one occurring at Hc1=460 Oe along the a axis, and the other at Hc2=1.16 T with the field along …