Ming Hu at University of South Carolina - Research Interests, Publications & Academic Profile

Ming Hu

University of South Carolina

United States

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Research Interests

Condensed Matter Physics

Materials Chemistry

Solid State Physics

Semiconductor Physics

Electron-phonon Interaction

Thermophysics

High-temperature Behavior

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Articles20

Collaborators6

Kamal Choudhary

National Institute of Standards and Technology

UNITED STATES

Divine Kumah

Associate Professor

Duke University

UNITED STATES

Jun Liu

Associate Professor

North Carolina State University

UNITED STATES

YU GONG

Assistant Professor

College of Charleston

UNITED STATES

Chen Shen

Technische Universität Darmstadt

Hongbin Zhang

Junior Professor

TU Darmstadt

How do Indian students reach out?

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Ming Hu

How do Indian students reach out?

Contact this professor

Research Interests

Ask ApplyKite AI

Articles20

Collaborators6

Kamal Choudhary

Divine Kumah

Jun Liu

YU GONG

Chen Shen

Hongbin Zhang

How do Indian students reach out?

Ming Hu

Professor

How do Indian students reach out?

Contact this professor

Research Interests

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Articles20

Efficient Optical Control of Magnon Dynamics in van der Waals Ferromagnets

Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study

High-throughput thermoelectric materials screening by deep convolutional neural network with fused orbital field matrix and composition descriptors

High throughput substrate screening for interfacial thermal management of β-Ga2O3 by deep convolutional neural network

Unleashing the power of artificial intelligence in phonon thermal transport: Current challenges and prospects

Deep-potential enabled multiscale simulation of gallium nitride devices on boron arsenide cooling substrates

Graph theory and graph neural network assisted high-throughput crystal structure prediction and screening for energy conversion and storage

Crystal structure prediction using neural network potential and age-fitness Pareto genetic algorithm

Unlocking phonon properties of a large and diverse set of cubic crystals by indirect bottom-up machine learning approach

Million-scale data integrated deep neural network for phonon properties of heuslers spanning the periodic table

Screening Outstanding Mechanical Properties and Low Lattice Thermal Conductivity Using Global Attention Graph Neural Network

Competing Heat Carriers Leading to Distinctive Cation Concentration Dependent Thermal Conductivity of Amorphous Li <i> <sub>x</sub> </i> S ( <i>x</i> = 0–2) Batteries

Thickness‐Dependent Thermal Conductivity and Phonon Mean Free Path Distribution in Single‐Crystalline Barium Titanate

Physics guided deep learning for generative design of crystal materials with symmetry constraints

Predicting Lattice Thermal Conductivity from Fundamental Material Properties Using Machine Learning Techniques

High-throughput computational discovery of 3218 ultralow thermal conductivity and dynamically stable materials by dual machine learning models

Anti-Bonding Mediated Record Low and Comparable-to-Air Lattice Thermal Conductivity of Two Metallic Crystals

Activated Lone-Pair Electrons Lead to Low Lattice Thermal Conductivity: A Case Study of Boron Arsenide

Antibonding induced anharmonicity leading to ultralow lattice thermal conductivity and extraordinary thermoelectric performance in CsK<sub>2</sub>X (X = Sb, Bi)

Machine Learning Accelerated Discovery of Promising Thermal Energy Storage Materials with High Heat Capacity

Collaborators6

Kamal Choudhary

Divine Kumah

Jun Liu

YU GONG

Chen Shen

Hongbin Zhang

How do Indian students reach out?