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๐Ÿ” peter pollner ๐Ÿ“‚ Chemistry
Showing 428 results for "peter pollner" in Chemistry
Chemistry Preprint PDF DOI

Thermal conductivity of aligned polymers with kinks

Igor V. Parshin, Igor V. Rubtsov, Alexander L. Burin ยท 2026

Thermal conductivity of aligned polymer molecules can be exceptionally high along the alignment direction due to energy transport through strong covalent bonds. At the same time, it is highly sensitivโ€ฆ

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Chemistry Preprint PDF DOI

Host-guest co-amorphous structure revealed by the suppression of the first sharp diffraction peak in isotactic poly(4-methyl-1-pentene)

Tomoki Ogihara, Yusuke Hiejima, Ayano Chiba ยท 2026

While host-guest co-crystals are well established, and co-amorphous solids are recognized in materials science, the concept of a host-guest co-amorphous structure remains largely unexplored. A potentiโ€ฆ

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Chemistry Preprint PDF DOI

Fidelity of Machine Learned Potentials: Quantitative Assessment for Protonated Oxalate

Chen Qu, Paul L. Houston, Qi Yu, Apurba Nandi, Joel M. Bowman, Valerii Andreichev, Silvan Kaser, Markus Meuwly ยท 2026

There has been a veritable explosion of methods and software to perform machine-learned regression on datasets of electronic energies and forces to develop high-dimensional machine learned potential eโ€ฆ

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Chemistry Preprint PDF DOI

Exact tunneling splittings from path-integral hybrid Monte Carlo with enveloping bridging potentials

Yu-Chen Wang, Jeremy O. Richardson ยท 2026

A path-integral hybrid Monte Carlo approach with enveloping bridging potentials (PIHMC-EBP) is proposed for calculating numerically exact tunneling splittings in molecular systems. The central idea isโ€ฆ

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Chemistry Preprint PDF DOI

Exact tunneling splittings of rotationally excited states from symmetrized path-integral molecular dynamics

Lea Zupan, Yu-Chen Wang, Jeremy O. Richardson ยท 2026

We extend our previous symmetrized path-integral molecular dynamics approach to calculate tunneling splittings of molecules in rotationally excited states. In this new formalism, the system is rigorouโ€ฆ

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Chemistry Preprint PDF DOI

ADEPT-PolyGraphMT: Automated Molecular Simulation and Multi-Task Multi-Fidelity Machine Learning for Polymer Property Generation and Prediction

Sobin Alosious, Yuhan Liu, Jiaxin Xu, Gang Liu, Renzheng Zhang, Meng Jiang, Tengfei Luo ยท 2026

The discovery of polymers with targeted properties is challenged by the vast chemical design space and the limited availability of consistent, high-quality data across multiple properties. In this worโ€ฆ

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Chemistry Preprint PDF DOI

Accelerating Instanton Theory with the Line Integral String Method, Gaussian Process Regression, and Selective Hessian Modeling

Chenghao Zhang, Amke Nimmrich, Axel Gomez, Munira Khalil, Niranjan Govind ยท 2026

We develop a Gaussian process regression enhanced line integral string method to accelerate ring polymer instanton calculations of tunneling rates and tunneling splittings in molecular proton transferโ€ฆ

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Chemistry Preprint PDF DOI

Constrained nuclear-electronic orbital second-order Moller-Plesset perturbation theory

Gabrielle B. Tucker, Kurt R. Brorsen ยท 2026

A multicomponent second-order M{\o}ller-Plesset perturbation theory (MP2) method is derived and implemented within the constrained nuclear-electronic orbital (CNEO) framework from a multicomponent genโ€ฆ

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Chemistry Preprint PDF DOI

Theory for enzymatic degradation of semi-crystalline polymer particles

Michael Schindler, Hernan Garate, Ludwik Leibler ยท 2026

In enzymatic recycling or biodegradation of semi-crystalline plastic waste, crystalline spherulites embedded into an amorphous matrix hinder and slow down depolymerisation. When the enzymatic depolymeโ€ฆ

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Chemistry Preprint PDF DOI

AgentCAT: An LLM Agent for Extracting and Analyzing Catalytic Reaction Data from Chemical Engineering Literature

Wei Yang, Zihao Liu, Tao Tan, Xiao Hu, Hong Xie, Lulu Li Xin Li, Jianyu Han, Defu Lian, Mao Ye ยท 2026

This paper presents a large language model (LLM) agent named AgentCAT, which extracts and analyzes catalytic reaction data from chemical engineering papers, %and supports natural language based interaโ€ฆ

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Chemistry Preprint PDF DOI

Quantum statistics from classical simulations via generative Gibbs sampling

Weizhou Wang, Xuanxi Zhang, Jonathan Weare, Aaron R. Dinner ยท 2026

Accurate simulation of nuclear quantum effects is essential for molecular modeling but expensive using path integral molecular dynamics (PIMD). We present GG-PI, a ring-polymer-based framework that coโ€ฆ

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Chemistry Preprint PDF DOI

The Open Polymers 2026 (OPoly26) Dataset and Evaluations

Daniel S. Levine, Nicholas Liesen, Lauren Chua, James Diffenderfer, Helgi Ingolfsson, Matthew P. Kroonblawd, Nitesh Kumar, Amitesh Maiti, Supun S. Mohottalalage, Muhammed Shuaibi, Brian Van Essen, Brandon M. Wood, C. Lawrence Zitnick, Samuel M. Blau, Evan R. Antoniuk ยท 2025

Polymers-macromolecular systems composed of repeating chemical units-constitute the molecular foundation of living organisms, while their synthetic counterparts drive transformative advances across meโ€ฆ

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Chemistry Preprint PDF DOI

Mechanisms of inductively coupled BCl3-plasma interaction with the GaN surfaceMechanisms of inductively coupled BCl3-plasma interaction with the GaN surface

Anton Kobelev, Nikolay Andrianov, Yuri Barsukov, Alexander Smirnov ยท 2025

Consideration is given to inductively coupled BCl3-plasma (ICP) treatment of the GaN surface, which is a promising technique to get the low resistance ohmic contacts in GaN-based transistors. In some โ€ฆ

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Chemistry Preprint PDF DOI

Interaction of Polymer of Intrinsic Microporosity PIM-1 with explosive analytes at the molecular level: Combined experiment and computational modelling

Salam Mohammed, Edward B. Ogugu, Ramakant Sharma, Dominic Taylor, Graeme Cooke, Neil McKeown, Glib Baryshnikov, Hans {AA}gren, Ifor D.W. Samuel, Graham A. Turnbull ยท 2025

This work investigates the molecular-level interactions of a fluorescent microporous polymer (PIM-1) with nitroaromatic explosives, in the context of thin film explosive sensors. Thin films of the PIMโ€ฆ

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Chemistry Preprint PDF DOI

Omics-scale polymer computational database transferable to real-world artificial intelligence applications

Ryo Yoshida, Yoshihiro Hayashi, Hidemine Furuya, Ryohei Hosoya, Kazuyoshi Kaneko, Hiroki Sugisawa, Yu Kaneko, Aiko Takahashi, Yoh Noguchi, Shun Nanjo, Keiko Shinoda, Tomu Hamakawa, Mitsuru Ohno, Takuya Kitamura, Misaki Yonekawa, Stephen Wu, Masato Ohnishi, Chang Liu, Teruki Tsurimoto, Arifin, Araki Wakiuchi, Kohei Noda, Junko Morikawa, Teruaki Hayakawa, Junichiro Shiomi, Masanobu Naito, Kazuya Shiratori, Tomoki Nagai, Norio Tomotsu, Hiroto Inoue, Ryuichi Sakashita, Masashi Ishii, Isao Kuwajima, Kenji Furuichi, Norihiko Hiroi, Yuki Takemoto, Takahiro Ohkuma, Keita Yamamoto, Naoya Kowatari, Masato Suzuki, Naoya Matsumoto, Seiryu Umetani, Hisaki Ikebata, Yasuyuki Shudo, Mayu Nagao, Shinya Kamada, Kazunori Kamio, Taichi Shomura, Kensaku Nakamura, Yudai Iwamizu, Atsutoshi Abe, Koki Yoshitomi, Yuki Horie, Katsuhiko Koike, Koichi Iwakabe, Shinya Gima, Kota Usui, Gikyo Usuki, Takuro Tsutsumi, Keitaro Matsuoka, Kazuki Sada, Masahiro Kitabata, Takuma Kikutsuji, Akitaka Kamauchi, Yusuke Iijima, Tsubasa Suzuki, Takenori Goda, Yuki Takabayashi, Kazuko Imai, Yuji Mochizuki, Hideo Doi, Koji Okuwaki, Hiroya Nitta, Taku Ozawa, Hitoshi Kamijima, Toshiaki Shintani, Takuma Mitamura, Massimiliano Zamengo, Yuitsu Sugami, Seiji Akiyama, Yoshinari Murakami, Atsushi Betto, Naoya Matsuo, Satoru Kagao, Tetsuya Kobayashi, Norie Matsubara, Shosei Kubo, Yuki Ishiyama, Yuri Ichioka, Mamoru Usami, Satoru Yoshizaki, Seigo Mizutani, Yosuke Hanawa, Shogo Kunieda, Mitsuru Yambe, Takeru Nakamura, Hiromori Murashima, Kenji Takahashi, Naoki Wada, Masahiro Kawano, Yosuke Harada, Takehiro Fujita, Erina Fujita, Ryoji Himeno, Hiori Kino, Kenji Fukumizu (for the RadonPy consortium) ยท 2025

Developing large-scale foundational datasets is a critical milestone in advancing artificial intelligence (AI)-driven scientific innovation. However, unlike AI-mature fields such as natural language pโ€ฆ

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Chemistry Preprint PDF DOI

Ring-polymer instanton theory for tunneling between asymmetric wells

Marit R. Fiechter, Gabriel Laude, Jeremy O. Richardson ยท 2025

Instanton theory has arisen as a practical tool for calculating tunneling splittings in molecular systems. Unfortunately, the original formulation of instanton theory fundamentally breaks down when trโ€ฆ

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Chemistry Preprint PDF DOI

Atomic and electronic structure of poly-[Ni(Salen)]: combined study by XPS, UV PES, NEXAFS and DFT methods

Petr M. Korusenko, Olga V. Petrova, Anatoliy A. Vereshchagin, Oleg V. Levin, Ratibor G. Chumakov, Konstantin P. Katin, Sergey V. Nekipelov, Victor N. Sivkov, Alexandra V. Koroleva, Alexander S. Konev, Alexander S. Vinogradov ยท 2025

A detailed study of poly-[Ni(Salen)] polymer in its oxidized (Ox) and reduced (Red) states was conducted using X-ray photoelectron (XPS) and ultraviolet photoemission (UV PES) spectroscopy, near-edge โ€ฆ

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Chemistry Preprint PDF DOI

Manning-type potential induced by kink scatterings with phonons in molecular chains with hyperbolic double-well substrates

Alain M. Dikande ยท 2025

A rescaled Manning potential is obtained in the analysis of scatterings of small- amplitude excitations with a kink defect. The generic model is a nonlinear Klein- Gordon Hamiltonian describing a one-โ€ฆ

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Chemistry Preprint PDF DOI

SimPoly: Simulation of Polymers with Machine Learning Force Fields Derived from First Principles

Gregor N. C. Simm, Jean Helie, Hannes Schulz, Yicheng Chen, Guillem Simeon, Anna Kuzina, Ernesto Martinez-Baez, Piero Gasparotto, Gabriele Tocci, Chi Chen, Yatao Li, Lixue Cheng, Zun Wang, Bichlien H. Nguyen, Jake A. Smith, Lixin Sun ยท 2025

Polymers are a versatile class of materials with widespread industrial applications. Advanced computational tools could revolutionize their design, but their complex, multi-scale nature poses significโ€ฆ

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Chemistry Preprint PDF DOI

Real-time dynamics with bead-Fourier path integrals. II. Bead-Fourier RPMD

Nathan London, Mohammad R. Momeni ยท 2025

Feynman path integrals (PIs) have found many uses in approximate quantum dynamics methods that are able to efficiently calculate real-time quantum correlation functions. The PIs typically take the forโ€ฆ

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