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Press Release

2022.12.05

A New, Unique Covalent Organic Framework for Use in Drug Delivery and Clean Ener...
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Research

2022.12.02

TUS Faculty Member Chosen as a Highly Cited Researcher by Clarivate Analytics fo...
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Press Release

2022.12.01

Making Sense of Coercivity in Magnetic Materials with Machine Learning
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Press Release

2022.11.29

Explainable AI-Based Physical Theory for Advanced Materials Design
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Press Release

2022.11.17

Trial by Wind: Testing the Heat Resistance of Carbon Fiber-Reinforced Ultra-High...
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Press Release

2022.11.14

The Nose-Brain Pathway: Exploring the Role of Trigeminal Nerves in Delivering In...
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Press Release

2022.11.07

Repeated Psychological Stress is Linked with Irritable Bowel Syndrome-like Sympt...
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Press Release

2022.11.02

Perturbing the Bernoulli Shift Map in Binary Systems
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Press Release

2022.10.27

Novel Thin and Flexible Sensor Characterizes High-speed Airflows on Curved Surfa...
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Press Release

2022.10.24

Novel Derivative of "Love Hormone" Oxytocin Improves Cognitive Impairment in Alz...
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Press Release

2022.09.28

Scalable and Fully Coupled Quantum-inspired Processor Solves Optimization Proble...
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Academics

2022.09.26

President of Japan Graduates' Association of Malaysia (JAGAM) Visits TUS
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Press Release

2022.09.26

New Nanocomposite Films Boost Heat Dissipation in Thin Electronics
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Press Release

2022.09.20

Role of Overconfidence and Perceived Ability in Preferences for Income Equality
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Press Release

2022.09.16

Getting Rid of Unwanted Transformed Cells: Possible New Directions in Cancer The...
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Press Release

2022.09.15

Reverse-Engineering the Brain to Decode Input Signals from Output Neuron Firing
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Press Release

2022.09.13

The Rates of Unique Names Increased in Japan over the 40 Years from the 1980s: L...
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Press Release

2022.09.02

New Method to Systematically Find Optimal Quantum Operation Sequences for Quantu...
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Press Release

2022.09.01

Improving Foam Stability in Disinfectants with High Ethanol Concentrations
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Press Release

2022.08.29

Mixing Things Up: Optimizing Fluid Mixing with Machine Learning
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And More

A New, Unique Covalent Organic Framework for Use in Drug Delivery and Clean Ener...

TUS Faculty Member Chosen as a Highly Cited Researcher by Clarivate Analytics fo...

Making Sense of Coercivity in Magnetic Materials with Machine Learning

Explainable AI-Based Physical Theory for Advanced Materials Design

Trial by Wind: Testing the Heat Resistance of Carbon Fiber-Reinforced Ultra-High...

The Nose-Brain Pathway: Exploring the Role of Trigeminal Nerves in Delivering In...

Repeated Psychological Stress is Linked with Irritable Bowel Syndrome-like Sympt...

Perturbing the Bernoulli Shift Map in Binary Systems

Novel Thin and Flexible Sensor Characterizes High-speed Airflows on Curved Surfa...

Novel Derivative of "Love Hormone" Oxytocin Improves Cognitive Impairment in Alz...

Scalable and Fully Coupled Quantum-inspired Processor Solves Optimization Proble...

President of Japan Graduates' Association of Malaysia (JAGAM) Visits TUS

New Nanocomposite Films Boost Heat Dissipation in Thin Electronics

Role of Overconfidence and Perceived Ability in Preferences for Income Equality

Getting Rid of Unwanted Transformed Cells: Possible New Directions in Cancer The...

Reverse-Engineering the Brain to Decode Input Signals from Output Neuron Firing

The Rates of Unique Names Increased in Japan over the 40 Years from the 1980s: L...

New Method to Systematically Find Optimal Quantum Operation Sequences for Quantu...

Improving Foam Stability in Disinfectants with High Ethanol Concentrations

Mixing Things Up: Optimizing Fluid Mixing with Machine Learning

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