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id string	paper_id string	title string	abstract string	authors list	categories list	published_date string	pdf_url string	source string	doi string	text_paper string	text_si string	images list	has_text bool	filter_passed bool	extracted bool
arxiv_1811.01289	arxiv_1811.01289	Epitaxial Synthesis of Blue Phosphorene	Phosphorene is a new two-dimensional material composed of a single or few atomic layers of black phosphorus. Phosphorene has both an intrinsic tunable direct band gap and high carrier mobility values, which make it suitable for a large variety of optical and electronic devices. However, the synthesis of single-layer ph...	[ "Wei Zhang", "Hanna Enriquez", "Yongfeng Tong", "Azzedine Bendounan", "Abdelkader Kara", "Ari P. Seitsonen", "Andrew J. Mayne", "Gérald Dujardin", "Hamid Oughaddou" ]	[ "cond-mat.mtrl-sci" ]	2018-11-03T21:52:21Z	https://arxiv.org/pdf/1811.01289v1	arxiv	10.1002/smll.201804066	null	null	[]	false	false	false
arxiv_2408.08801	arxiv_2408.08801	Fabrication of Spin-1/2 Heisenberg Antiferromagnetic Chains via Combined On-surface Synthesis and Reduction for Spinon Detection	Spin-1/2 Heisenberg antiferromagnetic chains are excellent one-dimensional platforms for exploring quantum magnetic states and quasiparticle fractionalization. Understanding its quantum magnetism and quasiparticle excitation at the atomic scale is crucial for manipulating the quantum spin systems. Here, we report the f...	[ "Xuelei Su", "Zhihao Ding", "Ye Hong", "Nan Ke", "KaKing Yan", "Can Li", "Yifan Jiang", "Ping Yu" ]	[ "cond-mat.mes-hall", "cond-mat.mtrl-sci", "physics.chem-ph", "quant-ph" ]	2024-08-16T15:24:09Z	https://arxiv.org/pdf/2408.08801v1	arxiv	10.1038/s44160-025-00744-4	null	null	[]	false	false	false
arxiv_2101.07385	arxiv_2101.07385	Autonomous synthesis of metastable materials	Autonomous experimentation enabled by artificial intelligence (AI) offers a new paradigm for accelerating scientific discovery. Non-equilibrium materials synthesis is emblematic of complex, resource-intensive experimentation whose acceleration would be a watershed for materials discovery and development. The mapping of...	[ "Sebastian Ament", "Maximilian Amsler", "Duncan R. Sutherland", "Ming-Chiang Chang", "Dan Guevarra", "Aine B. Connolly", "John M. Gregoire", "Michael O. Thompson", "Carla P. Gomes", "R. Bruce van Dover" ]	[ "cond-mat.mtrl-sci", "cs.AI", "cs.LG", "cs.MA", "physics.comp-ph" ]	2021-01-19T00:29:26Z	https://arxiv.org/pdf/2101.07385v2	arxiv	10.1126/sciadv.abg4930	null	null	[]	false	false	false
arxiv_1209.4666	arxiv_1209.4666	Virtual Synthesis of Nanoscale Systems with Pre-Designed Properties: Fundamentals and Applications. Chapter 7. Nickel Oxide Quantum Dots and Polymer Nanowires	The virtual (i.e., fundamental many body quantum theory-based, computational) synthesis method is used to establish electronic templates of about 30 non-stoichiometric nanosystems composed of nickel and oxygen atoms and ranging from about 6 Å to 6 nm in linear dimensions. Flexible and stretchable Ni-O bond in such stru...	[ "Liudmila A. Pozhar" ]	[ "cond-mat.mtrl-sci", "cond-mat.mes-hall", "cond-mat.str-el", "physics.chem-ph" ]	2012-09-20T21:06:55Z	https://arxiv.org/pdf/1209.4666v1	arxiv		null	null	[]	false	false	false
arxiv_2201.09329	arxiv_2201.09329	ULSA: Unified Language of Synthesis Actions for Representation of Synthesis Protocols	Applying AI power to predict syntheses of novel materials requires high-quality, large-scale datasets. Extraction of synthesis information from scientific publications is still challenging, especially for extracting synthesis actions, because of the lack of a comprehensive labeled dataset using a solid, robust, and wel...	[ "Zheren Wang", "Kevin Cruse", "Yuxing Fei", "Ann Chia", "Yan Zeng", "Haoyan Huo", "Tanjin He", "Bowen Deng", "Olga Kononova", "Gerbrand Ceder" ]	[ "cs.LG", "cond-mat.mtrl-sci" ]	2022-01-23T17:44:48Z	https://arxiv.org/pdf/2201.09329v1	arxiv		null	null	[]	false	false	false
arxiv_2506.20189	arxiv_2506.20189	High mechanical strength Si anode synthesis with interlayer bonded expanded graphite structure for lithium-ion batteries	Despite advancements in silicon-based anodes for high-capacity lithium-ion batteries, their widespread commercial adoption is still hindered by significant volume expansion during cycling, especially at high active mass loadings crucial for practical use. The root of these challenges lies in the mechanical instability ...	[ "Wenhui Lai", "Jong Hak Lee", "Lu Shi", "Yuqing Liu", "Yanhui Pu", "Yong Kang Ong", "Carlos Limpo", "Ting Xiong", "Yifan Rao", "Chorng Haur Sow", "Barbaros Özyilmaz" ]	[ "cond-mat.mtrl-sci" ]	2025-06-25T07:29:53Z	https://arxiv.org/pdf/2506.20189v1	arxiv	10.1016/j.jechem.2024.02.021.	null	null	[]	false	false	false
arxiv_2509.17094	arxiv_2509.17094	DiffSyn: A Generative Diffusion Approach to Materials Synthesis Planning	The synthesis of crystalline materials, such as zeolites, remains a significant challenge due to a high-dimensional synthesis space, intricate structure-synthesis relationships and time-consuming experiments. Considering the one-to-many relationship between structure and synthesis, we propose DiffSyn, a generative diff...	[ "Elton Pan", "Soonhyoung Kwon", "Sulin Liu", "Mingrou Xie", "Alexander J. Hoffman", "Yifei Duan", "Thorben Prein", "Killian Sheriff", "Yuriy Roman-Leshkov", "Manuel Moliner", "Rafael Gomez-Bombarelli", "Elsa Olivetti" ]	[ "cond-mat.mtrl-sci", "cs.AI", "cs.LG" ]	2025-09-21T14:19:47Z	https://arxiv.org/pdf/2509.17094v2	arxiv		null	null	[]	false	false	false
arxiv_2505.13571	arxiv_2505.13571	Autonomous nanoparticle synthesis by design	Controlled synthesis of materials with specified atomic structures underpins technological advances yet remains reliant on iterative, trial-and-error approaches. Nanoparticles (NPs), whose atomic arrangement dictates their emergent properties, are particularly challenging to synthesise due to numerous tunable parameter...	[ "Andy S. Anker", "Jonas H. Jensen", "Miguel Gonzalez-Duque", "Rodrigo Moreno", "Aleksandra Smolska", "Mikkel Juelsholt", "Vincent Hardion", "Mads R. V. Jorgensen", "Andres Faina", "Jonathan Quinson", "Kasper Stoy", "Tejs Vegge" ]	[ "cond-mat.mtrl-sci", "cond-mat.mes-hall", "cs.LG" ]	2025-05-19T13:19:30Z	https://arxiv.org/pdf/2505.13571v1	arxiv		null	null	[]	false	false	false
arxiv_2009.06739	arxiv_2009.06739	Predictive Synthesis of Quantum Materials by Probabilistic Reinforcement Learning	Predictive materials synthesis is the primary bottleneck in realizing new functional and quantum materials. Strategies for synthesis of promising materials are currently identified by time-consuming trial and error approaches and there are no known predictive schemes to design synthesis parameters for new materials. We...	[ "Pankaj Rajak", "Aravind Krishnamoorthy", "Ankit Mishra", "Rajiv K. Kalia", "Aiichiro Nakano", "Priya Vashishta" ]	[ "cond-mat.mtrl-sci", "cs.LG", "physics.chem-ph" ]	2020-09-14T20:50:45Z	https://arxiv.org/pdf/2009.06739v1	arxiv		null	null	[]	false	false	false
arxiv_2410.13795	arxiv_2410.13795	Predicting synthesis window of beta-TaON with thermodynamic modeling	Phase-pure synthesis has been a major challenge for metal oxynitrides due to their sensitivity to synthesis conditions and the limited understanding of the underlying thermodynamics. The beta-phase tantalum oxynitride (beta-TaON), a promising material for applications in photocatalysis and energy storage, is particular...	[ "Dmitri LaBelle", "Yong-Jie Hu" ]	[ "cond-mat.mtrl-sci" ]	2024-10-17T17:36:15Z	https://arxiv.org/pdf/2410.13795v1	arxiv		null	null	[]	false	false	false

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