An informatics framework for the design of sustainable, chemically recyclable, synthetically accessible, and durable polymers by Joseph Kern, Yong-Liang Su, Will Gutekunst, Rampi Ramprasad

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SHRiMP: accurate mapping of short color-space reads. by Stephen M Rumble, Phil Lacroute, Adrian V Dalca, Marc Fiume, Arend Sidow, Michael Brudno

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A machine learning approach to predict tight-binding parameters for point defects via the projected density of states by Henry Phillip Fried, Daniel Barragan-Yani, Florian Libisch, Ludger Wirtz

“…We demonstrate the efficiency of our approach for the calculation of the carbon monomer and the carbon dimer substitutions in hexagonal boron nitride. The method opens a path towards understanding complicated defect landscapes using a computationally affordable semi-empirical approach without sacrificing accuracy.…”
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From decision to action: Detailed modelling of frog tadpoles reveals neuronal mechanisms of decision-making and reproduces unpredictable swimming movements in response to sensory s... by Andrea Ferrario, Andrey Palyanov, Stella Koutsikou, Wenchang Li, Steve Soffe, Alan Roberts, Roman Borisyuk

“…Combining these two models opens new perspectives for experiments.…”
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Cloud-edge MQTT messaging for latency mitigation and broker memory footprint reduction by Yi-Hsuan Tseng, Chao Wang, Yu-Tse Wei, Yu-Ting Chiang

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3D Urban Digital Twinning on the Web with Low-Cost Technology: 3D Geospatial Data and IoT Integration for Wellness Monitoring by Marcello La Guardia

“…Recent advances in computer science and geomatics have enabled the digitalization of complex two-dimensional and three-dimensional spatial environments and the sharing of geospatial data on the web. …”
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GRSNet: An Ultra-Lightweight Neural Network for 3D Point Cloud Classification and Segmentation by Zourong Long, Gen Tan, You Wu, Hong Yang, Chao Ding

“…Comparative experiments with leading algorithms on established point cloud open-source datasets demonstrate that GRSNet achieves superior performance, maintaining only 0.7 M parameters.…”
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Overview of Hybrid Satellite–Terrestrial Networks (HSTNs): Key Technologies and Upcoming Challenges by Akbar Asgharzadeh-Bonab, Hashem Kalbkhani, Yaser Azimi, Farid Ahmadi

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Getting to the Point: Defining, Reconstructing and Investigating Shape Through a Procrustean Protocol by Ben R. Wigley, Paul G. Blackwell

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Nek5000/RS performance on advanced GPU architectures by Misun Min, Yu-Hsiang Lan, Paul Fischer, Paul Fischer, Paul Fischer, Thilina Rathnayake, John Holmen

“…The authors explore performance scalability of the open-source thermal-fluids code, NekRS, on the U.S. …”
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Bandwidth-Aware Scheduling of Workflow Application on Multiple Grid Sites by Harshadkumar B. Prajapati, Vipul A. Shah

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SIGMA: Wireless System with Geolocation for Environmental Monitoring by Christian Tipantuña, Jeaneth Acero, Christian Reyes, Danny S. Guamán, José Estrada-Jiménez

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A systematic assessment of sentiment analysis models on iraqi dialect-based texts by Hafedh Hameed Hussein, Amir Lakizadeh

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Features of Generation, Propagation and Application of Special Ultrasonic Impulses in Viscous Liquids by Oleg M. Gradov

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Revealing nanostructures in high-entropy alloys via machine-learning accelerated scalable Monte Carlo simulation by Xianglin Liu, Kai Yang, Yongxiang Liu, Fanli Zhou, Dengdong Fan, Zongrui Pei, Pengxiang Xu, Yonghong Tian

“…Our results highlight the potential of large-scale, data-driven MC simulations in exploring nanostructure evolution in complex materials, opening new avenues for computationally guided alloy design.…”
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Transition state structure detection with machine learningś by Yitao Si, Yiding Ma, Tao Yu, Yifan Wu, Yingzhe Liu, Weipeng Lai, Zhixiang Zhang, Jinwen Shi, Liejin Guo, Oleg V. Prezhdo, Maochang Liu

“…The reported work demonstrates the effectiveness of employing visual representation in chemical space exploration tasks and opens new avenues for the transition structure modeling.…”
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Automatic identification of slip pathways in ductile inorganic materials by combining the active learning strategy and NEB method by Jun Luo, Tao Fan, Jiawei Zhang, Pengfei Qiu, Xun Shi, Lidong Chen

“…Our automated workflow opens a new avenue for the automatic identification of the slip pathways in inorganic materials, which holds promise for accelerating the high-throughput screening of ductile inorganic materials.…”
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Topological Phenotypes Constitute a New Dimension in the Phenotypic Space of Leaf Venation Networks. by Henrik Ronellenfitsch, Jana Lasser, Douglas C Daly, Eleni Katifori

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Efficient modelling of anharmonicity and quantum effects in PdCuH2 with machine learning potentials by Francesco Belli, Eva Zurek

“…Unfortunately, the SSCHA is extremely computationally expensive, prohibiting its routine use. …”
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Assessing Urban functional area delineation: POI data and kde analysis in pekanbaru by Zahra Witsqa Maghfira, Ridwan Sutriadi, Ahmad Baikuni Perdana

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