Penghua Ying 应鹏华

Associate Professor in Xi'an Jiaotong University.

[Discover Applied Sciences @SNApplSci]

Discover Applied Sciences has received its Impact Factor for the first time this year: IF (2025): 3.8, (JCI=0.63) in the 2025 Journal Citation Reports. The journal is now placed in Q1 (JIF Quartile) and Q2 (JCI Quartile) in Multidisciplinary Sciences. Also, 2025 CiteScore is 4.1.

[Penghua Ying 应鹏华 @BenwardYin]

@danhed89 @LTUniv Congratulations!

[Penghua Ying 应鹏华 @BenwardYin]

https://t.co/UIHyxzBdAu

[Penghua Ying 应鹏华 @BenwardYin]

Take a look at my article! https://t.co/LG9APmQfpb

[Penghua Ying 应鹏华 @BenwardYin]

https://t.co/jHp1T04VEg

[Penghua Ying 应鹏华 @BenwardYin]

https://t.co/fUUeXf4Hwl

[Penghua Ying 应鹏华 @BenwardYin]

Anisotropic and isotropic elasticity and thermal transport in monolaye… https://t.co/8TJ6fOcs94

[Penghua Ying 应鹏华 @BenwardYin]

Modular hybrid machine learning and physics-based potentials for scala… https://t.co/DoLMeR192o

[Penghua Ying 应鹏华 @BenwardYin]

https://t.co/ydZTPAwATA

[Zisheng Zhang 張孜晟 @zisheng_zhang_]

I tried to put as many sci-fi and CoC references into the article and TOC as possible -- enjoy if you also happen to be a big fan of em ;-)

[School of Chemistry, Tel Aviv University @chemistrytau]

הדלקת נר שלישי של חנוכה בביה"ס לכימיה יחד עם הסטודנטים, תלמידי המחקר, הסגל האקדמי והמינהלי. ברכות, נגינה, שירה בצוותא וסופגניות כמובן.

[Penghua Ying 应鹏华 @BenwardYin]

https://t.co/r3yz1seeI5

[Penghua Ying 应鹏华 @BenwardYin]

https://t.co/ZySp7s2p4i

[Penghua Ying 应鹏华 @BenwardYin]

Read In Memoriam: Chen Ning Yang 杨振宁 (1922–2025) https://t.co/dhbV6WuzC4 来自 @the_IAS

[Penghua Ying 应鹏华 @BenwardYin]

Strain-induced conformation transition in two-dimensional covalent organic frameworks https://t.co/kQaf8rcekF

[Simon Gravelle @GravelleSimon]

The content of https://t.co/ZtFlpjgiml has just been published in my favorite journal, the Living Journal of Computational Molecular Science (LiveCoMS): https://t.co/yHwrQSrrww

[Gang Tang @GangTang7]

🚀 Our new paper (in collaboration with NEP developer Zheyong Fan and colleagues) is out!
We present NepTrain & NepTrainKit – open-source tools for efficient NEP training dataset generation, visualization & management.

https://t.co/1ULtUkO0U0

[Shunda Chen @Shunda_Chen]

Water is the most anomalous liquid and extremely hard to model. We made a breakthrough with a machine-learning framework (NEP-MB-pol) that captures water’s quantum nature and simultaneously predicts its structural, thermodynamic, and transport properties. https://t.co/O8XKBfWE5a

[Gang Tang @GangTang7]

📢 Excited to share our new toolkit NepTrain & NepTrainKit — developed in collaboration with Chengbing Chen and Zheyong Fan
— for automated active learning & visualization of Neuroevolution Potentials (NEP)!
https://t.co/S9ISds4Rf1

[Shunda Chen @Shunda_Chen]

NEP89 is a foundation model based on the neuroevolution potential (NEP) architecture, delivering empirical-potential-like speed and near-DFT accuracy for large-scale atomistic simulations of inorganic and organic systems across 89 chemical elements. https://t.co/RvslTTZqnb 🚀