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IOP出版社6月精选文章——MachineLearning&Biodiversity&NeuromorphicComputing

30 Jun 2025 gabriels

IOP出版社每月从年度重点期刊中精选两个主题的研究文章供大家阅读，本月的主题为Machine Learning/AI、Biodiversity和Neuromorphic/Brain-inspired computing。这些文章体现了IOP期刊的高质量和创新性，并呈现了一些受关注的研究工作。欢迎大家阅读下载！您可以扫描下方二维码，查看IOP出版社数学与计算、环境与能源和工程领域的最新资讯；还可以点击此处链接，订阅该领域的最新研究进展以及相关期刊的最新信息。

数学与计算：

环境与能源：

工程：

精选文章

Machine Learning/AI

Machine Learning: Science and Technology

The OpenLAM Challenges: LAM Crystal Philately competition

Anyang Peng, Xinzijian Liu, Ming-Yu Guo, Linfeng Zhang and Han Wang

ChemLit-QA: a human evaluated dataset for chemistry RAG tasks

Geemi P Wellawatte, Huixuan Guo, Magdalena Lederbauer, Anna Borisova, Matthew Hart, Marta Brucka and Philippe Schwaller

LLM4Mat-bench: benchmarking large language models for materials property prediction

Andre Niyongabo Rubungo, Kangming Li, Jason Hattrick-Simpers and Adji Bousso Dieng

Forecasting high-impact research topics via machine learning on evolving knowledge graphs

Xuemei Gu and Mario Krenn

Graph representation of local environments for learning high-entropy alloy properties

Hengrui Zhang (张恒睿), Ruishu Huang, Jie Chen, James M Rondinelli and Wei Chen

FDDM: unsupervised medical image translation with a frequency-decoupled diffusion model

Yunxiang Li, Hua-Chieh Shao, Xiaoxue Qian and You Zhang

Efficient prediction of aerodynamic forces in rarefied flow using convolutional neural network based multi-process method

Haifeng Huang, Guobiao Cai, Chuanfeng Wei, Baiyi Zhang, Xiang Cui, Yongjia Zhao, Huiyan Weng, Weizong Wang, Lihui Liu and Bijiao He

Learning from topology: cosmological parameter estimation from the large-scale structure

Jacky H T Yip, Adam Rouhiainen and Gary Shiu

Nanotechnology

The convergence of nanomanufacturing and artificial intelligence: trends and future directions

Vamsi K Yadavalli

Journal of Physics: Condensed Matter

Machine learning assisted crystallographic reconstruction from atom probe tomographic images

Jie-Ming Pu, Shuai Chen and Tong-Yi Zhang

Neuromorphic Computing and Engineering

Enhancing temporal learning in recurrent spiking networks for neuromorphic applications

Ismael Balafrej, Soufiyan Bahadi, Jean Rouat and Fabien Alibart

Continual learning with hebbian plasticity in sparse and predictive coding networks: a survey and perspective

Ali Safa

Unsupervised end-to-end training with a self-defined target

Dongshu Liu, Jérémie Laydevant, Adrien Pontlevy, Damien Querlioz and Julie Grollier

Difficulties and approaches in enabling learning-in-memory using crossbar arrays of memristors

Wei Wang, Yang Li and Ming Wang

ETLP: event-based three-factor local plasticity for online learning with neuromorphic hardware

Fernando M Quintana, Fernando Perez-Peña, Pedro L Galindo, Emre O Neftci, Elisabetta Chicca and Lyes Khacef

Physica Scripta

Predicting elastic and electronic properties of quaternary Heusler alloys using machine learning and DFT calculations

Waqas Akhtar, Ishfaq Ahmed, Jingtao Huang, Shanza Mubashir, Jiaying Chen, Jingteng Xue, Yong Liu, Nan Qu and Jingchuan Zhu

Design of ultra-broadband long-wave to ultra-long-wave infrared absorber based on machine learning

Riaz Ali, Wei Su, Zhipeng Ding, Muhammad Ali, Hina Ismail, Zainab Saif, Jawad Ali and Hongbing Yao

Journal of Physics Communications

Machine learning the Ising transition: A comparison between discriminative and generative approaches

Difei Zhang, Frank Schäfer and Julian Arnold

Biomedical Physics & Engineering Express

Exploring the application of deep learning methods for polygenic risk score estimation

Steven Squires, Michael N Weedon and Richard A Oram

Comparison review of image classification techniques for early diagnosis of diabetic retinopathy

Chayarat Wangweera and Plinio Zanini

Biodiversity

Environmental Research: Ecology

The Kunming-Montreal Global Biodiversity Framework needs headline indicators that can actually monitor forest integrity

Rajeev Pillay, James E M Watson, Scott J Goetz, Andrew J Hansen, Patrick A Jantz, Juan Pablo Ramírez-Delgado, Hedley S Grantham, Simon Ferrier and Oscar Venter

The forest biodiversity index (FOBI): monitoring forest biodiversity potential over space and time

Chloe Bellamy, Andrew Rattey, Colin Edwards, Kenny Kortland, Andrew Stringer, Eleanor Tew, Stephen Bathgate, Nora Kerecsenyi, Darren Moseley, Kevin Watts and Alice Broome

Arboreal camera trapping reveals diel-vertical migrations in arboreal wildlife of the Peruvian Amazon rainforest

Arata Honda, Chris Beirne, Ruthmery Pillco Huarcaya, Flor Perez Mullisaca, Caleb Quispe Quispe, Rosio Vega Quispe, Eleanor Flatt and Andrew Whitworth

Satellite remote sensing reveals the footprint of biodiversity on multiple ecosystem functions across the NEON eddy covariance network

Ulisse Gomarasca, Gregory Duveiller, Javier Pacheco-Labrador, Guido Ceccherini, Alessandro Cescatti, Marco Girardello, Jacob A Nelson, Markus Reichstein, Christian Wirth and Mirco Migliavacca

Soundscape mapping: understanding regional spatial and temporal patterns of soundscapes incorporating remotely-sensed predictors and wildfire disturbance

Colin A Quinn, Patrick Burns, Patrick Jantz, Leonardo Salas, Scott J Goetz and Matthew L Clark

Environmental Research Letters

Climate, fire, and anthropogenic disturbance determine the current global distribution of tropical forest and savanna

Grant J Williamson, David YP Tng and David MJS Bowman

Sustainable forest management for carbon, wood and biodiversity must consider natural disturbance regimes

Weier Liu, Mark S Ashton, Mark J Ducey, Mark A Bradford and Sara E Kuebbing

Climate benefits of Amazon secondary forests—recent advances and research needs

Jessica C A Baker, Marcos Adami, Celso H L Silva-Junior, Luis W R Sadeck, Callum Smith, Viola H A Heinrich, Jos Barlow, Joice Ferreira, Henrique L G Cassol, Liana O Anderson, Celso Von Randow, Arthur P K Argles, Rita C S Von Randow, Fernando Elias, Luiz E O C Aragão, Stephen Sitch and Dominick V Spracklen

Implementation of automated biodiversity monitoring lags behind its potential

Rachel A King and Benjamin S Halpern

Environmental Research: Infrastructure and Sustainability

Biodiversity on the line: life cycle impact assessment of power lines on birds and mammals in Norway

Dafna Gilad, Jan Borgelt, Roel May and Francesca Verones