论文
[1]Accelerated Degradation of Microplastics at the Liquid Interface of Ice Crystals in Frozen Aqueous Solutions. Angewandte Chemie International Edition, 2022, 61(31)（第一作者）；
[2]Heteroatoms Induce Localization of the Electric Field and Promote a Wide Potential-Window Selectivity Towards CO in the CO2 Electroreduction. Angewandte Chemie International Edition, 2022, 61, e2022126（通讯作者）；
[3]Ultrastrong Anion Affinity of Anionic Clay Induced by Its Inherent Nanoconfinement. Environmental Science & Technology, 2021, 55, 930-940（第一作者）；
[4]Enhanced adsorption of p‑arsanilic acid from water by amine-modified UiO-67 as examined using extended x‑ray absorption fine structure, x‑ray photoelectron spectroscopy, and density functional theory calculations. Environmental Science & Technology, 2018, 52, 3466-3475（第一作者）；
[5]Axial enhancement on non-radicals generation in PMS activation process mediated with Co single-atom catalyst encapsulated nanoparticles. Journal of Hazardous Materials, 2025,496（通讯作者）；
[6]Non-free radical regulation mechanism based on pH in the peroxymonosulfate activation process mediated by single-atom Co catalyst for the specific rapid degradation of emerging pollutants. Journal of Colloid and Interface Science, 2025,687:617-629（通讯作者）；
[7]Efficient removal of natural organo-chromium(III) through self-circulating decomplex and immobilization with nanoscale zero-valent iron. Nano Research, 2024, 17(1):364-371（通讯作者）；
[8]Mapping global distributions of clay-size minerals via soil properties and machine learning techniques. Science of the Total Environment, 2024, 949, 174776（通讯作者）；
[9]A MOF-based trap with strong affinity toward low-concentration heavy metal ions. Separation and Purification Technology, 2022, 301, 121946（通讯作者）；
[10]Predicting heavy metal distribution coefficient in global soil via machine learning: The effect of mineral heterogeneity.Environmental Research, 2026,295（通讯作者）；
[11]Natural factor-based spatial prediction and source apportionment of typical heavy metals in Chinese surface soil: Application of machine learning models. Environmental Pollution, 2025, 366, 125373（通讯作者）；
[12]Freeze-accelerated reactions on environmental relevant processes. Cell Reports Physical Science, 2023, 4(6):101456（通讯作者）；
[13]Bio-inspired hydrogen-bond network for extraction of organometal micropollutants from water. Cell Reports Physical Science, 2021, 2, 100625（第一作者）；
[14]Effective separation of metal impurities from gypsum nanosludge: synergism of mechanical force and metal species regulation. Environmental Science: Nano, 2024, d4en00799a（通讯作者）；
[15]Rational construction of covalent organic frameworks with multi-site functional groups for highly efficient removal of low-concentration U(VI) from water. Environmental Science: Nano, 2021, 8, 1469-1480（通讯作者）；
[16]Efficient removal of low-concentration organoarsenic by Zr-based metal-organic frameworks: cooperation of defects and hydrogen bonds. Environmental Science: Nano, 2019, 6, 3590-3600（通讯作者）；
[17]Microinteraction Analysis between Heavy Metals and Coexisting Phases in Heavy Metal Containing Solid Wastes. ACS ES&T Engineering, 2022, 2, 547–563（第一作者）；
[18]Deng H, Mi S, Tian C, et al. Selective and enhanced recovery of Pb and Zn from mixed polymetallic sulfide minerals: Synergism of oxidative-acid leaching.Surfaces and Interfaces, 2025,59（通讯作者）；
[19]Enhanced Recovery of Zn from Carbonate-Type Mixed Oxidized Ore (CMO) by Combining Organic Acid Leaching with Mechanical Activation. Metals, 2023, 13, 6-13（通讯作者）；
[20]Enhanced Separation of Sulfur and Metals from Polymetallic Sulfur Slag through Recrystallizing Regulation of Sulfur Crystals. Metals, 2023, 13, 3-13（通讯作者）。
授权专利
1.田晨,董志成,林璋,潘学琳,陈范云,高青山.一种金属硫渣预处理强化硫磺热熔分离的方法. ZL 202311753718.3
2.田晨,潘学琳,林璋,董志成,陈范云,高青山.一种强化金属硫渣中硫磺过滤分离的方法.ZL 202311754388.X
3.田晨;左文萍;林璋;王紫怡.一种超低温光催化制备过氧化氢的方法.ZL 202510094493.8
4.田晨,廖钦鹏,林璋,齐冲冲,古黄玲,巢瑾. 基于机器学习的土壤矿物含量预测方法. ZL 202310031962.2
5.田晨,林璋,吕嘉欣,张文超,肖睿洋,王晗, 柴立元.一种微纳塑料的降解方法. ZL 202210503133.5
6.田晨,高青山,林璋,梁彦杰,王庆伟,刘学明, 李春雪.一种分离含硫氧压浸出渣中重金属与硫磺的方法. ZL 202210407381.X
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